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https://issues.apache.org/jira/browse/BEAM-9421?focusedWorklogId=406339&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-406339
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ASF GitHub Bot logged work on BEAM-9421:
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Author: ASF GitHub Bot
Created on: 19/Mar/20 15:50
Start Date: 19/Mar/20 15:50
Worklog Time Spent: 10m
Work Description: soyrice commented on pull request #11075: [BEAM-9421]
Website section that describes getting predictions using AI Platform Prediciton
URL: https://github.com/apache/beam/pull/11075#discussion_r395130073
##########
File path: website/src/documentation/patterns/ai-platform.md
##########
@@ -0,0 +1,87 @@
+---
+layout: section
+title: "AI Platform integration patterns"
+section_menu: section-menu/documentation.html
+permalink: /documentation/patterns/ai-platform/
+---
+<!--
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+-->
+
+# AI Platform integration patterns
+
+This page describes common patterns in pipelines with Google Cloud AI Platform
transforms.
+
+<nav class="language-switcher">
+ <strong>Adapt for:</strong>
+ <ul>
+ <li data-type="language-java">Java SDK</li>
+ <li data-type="language-py" class="active">Python SDK</li>
+ </ul>
+</nav>
+
+## Getting predictions
+
+This section shows how to use [Google Cloud AI Platform
Prediction](https://cloud.google.com/ai-platform/prediction/docs/overview) to
make predictions about new data from a cloud-hosted machine learning model.
+
+[tfx_bsl](https://github.com/tensorflow/tfx-bsl) is a library with a Beam
PTransform called `RunInference`. `RunInference` is able to perform an
inference that can use a service endpoint. When using a service endpoint, the
transform takes a PCollection of type `tf.train.Example` and, for every bunch
of elements, sends a request to AI Platform Prediction. The transform produces
a PCollection of type `PredictLog`, which contains predictions.
Review comment:
Is there another doc (or some source code) we can link to that describes how
Beam handles the batch size? It's probably not worth adding the extra details
to this pattern but it may be helpful to provide a link for more information.
I also think we should use the term "batch" instead of "bunch" for
additional clarity.
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Issue Time Tracking
-------------------
Worklog Id: (was: 406339)
Time Spent: 6h 50m (was: 6h 40m)
> AI Platform pipeline patterns
> -----------------------------
>
> Key: BEAM-9421
> URL: https://issues.apache.org/jira/browse/BEAM-9421
> Project: Beam
> Issue Type: Sub-task
> Components: website
> Reporter: Kamil Wasilewski
> Assignee: Kamil Wasilewski
> Priority: Major
> Labels: pipeline-patterns
> Time Spent: 6h 50m
> Remaining Estimate: 0h
>
> New pipeline patterns should be contributed to the Beam's website in order to
> demonstrate how newly implemented Google Cloud AI PTransforms can be used in
> pipelines.
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